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Demystifying Demand Sensing

Demand sensing capabilities can help customers improve their forecasting and increase inventory accuracy.

Nucleus found that there is significant confusion in the market about the benefits that true demand sensing solutions can deliver, with customers reducing forecast error by over 30 percent on average relative to conventional time-series forecasting.

Requiring specific capabilities, vendors are frequently misrepresenting the capabilities they offer as demand sensing, causing confusion in the market.

Demystifying Demand Sensing

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E2open Demand Sensing Overview

Demand Sensing is a next-generation forecasting technology invented by E2open in 2002, that analyzes current demand signals such as orders, shipments and retailer data like point-of-sale, to predict the most likely amount of future demand for every item, at every location, every day.

Unlike traditional demand planning technology that relies on historical sales, Demand Sensing is fully automated, using algorithms and machine learning to find patterns within real-time data. It extracts actionable information based on what is actually happening in your supply chain, helping you better understand what your customers will order and when.

E2open Demand Sensing is proven to reduce forecast error by 30-40% and is trusted by some of the world’s largest manufacturers. In fact, E2open Demand Sensing predicts demand for over $250 billion in annual sales every year.